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Artificial intelligence-based production scheduling method and system

A production scheduling and artificial intelligence technology, applied in manufacturing computing systems, instruments, marketing, etc., can solve problems such as products not suitable for production as soon as possible, affecting customer consumption experience, etc.

Active Publication Date: 2022-07-12
GUANGZHOU SIE CONSULTING CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, most of the existing production scheduling systems focus on the production allocation of existing tasks in order to improve the production efficiency of the enterprise. From the perspective of the enterprise, this scheduling method is very suitable, but the purpose of production scheduling is more We should try our best to meet the needs of customers. For example, a customer is in a hurry, but the product he needs is not suitable for production as soon as possible. According to the traditional scheduling method, the time for the customer to receive the product will be very late. It is conceivable that this will greatly affect Affect the customer's consumption experience, therefore, if the production scheduling from the customer's point of view is the technical problem that the technical solution of the present invention intends to solve

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  • Artificial intelligence-based production scheduling method and system
  • Artificial intelligence-based production scheduling method and system

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Embodiment 1

[0070] figure 1 This is a flowchart of an artificial intelligence-based production scheduling method. In the embodiment of the present invention, an artificial intelligence-based production scheduling method includes steps S100 to S500:

[0071] Step S100: obtaining promotion information of each area in a preset area table, determining a feedback rate of each area according to the promotion information, and sorting the area table based on the feedback rate;

[0072] With the rapid development of self-media, each enterprise will have its own way of customer acquisition to promote some products. The promotion methods in different regions may be different, and the feedback of people in different regions to the same promotion document is also different. For areas with good purchase intentions, we give priority to providing products. For areas with poor intentions, we provide products appropriately. If it has been poor, there is no need to expand customers from the perspective of d...

Embodiment 2

[0117] Figure 7 It is a structural block diagram of the production scheduling system based on artificial intelligence. In the embodiment of the present invention, a production scheduling system based on artificial intelligence, the system 10 includes:

[0118] The first sorting module 11 is used to obtain the promotion information of each area in the preset area table, determine the feedback rate of each area according to the promotion information, and sort the area table based on the feedback rate;

[0119] The request receiving module 12 is used to obtain an order request containing location information and target time in real time, and insert the order request into the sorted area table according to the location information;

[0120] The second sorting module 13 is configured to receive the interaction data sent by the user, determine the user level according to the interaction data, and perform secondary sorting on the sorted area table based on the user level;

[0121] ...

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Abstract

The invention relates to the technical field of production scheduling, and specifically discloses a production scheduling method and system based on artificial intelligence. The method includes acquiring promotion information of each area in a preset area table, and determining feedback of each area according to the promotion information rate, sort the area table based on the feedback rate; obtain order requests containing location information and target time in real time, and insert the order request into the sorted area table according to the location information; receive the interaction sent by the user data, determine a user level according to the interaction data, perform a secondary sorting on the sorted area table based on the user level, and generate an order task based on the secondary sorted area table. The invention sorts the order requests sent by the users through the user's location information, then extracts special users on this basis, and finally determines the task sequence according to the requests of these users, and builds a customer-oriented production scheduling system .

Description

technical field [0001] The invention relates to the technical field of production scheduling, in particular to a production scheduling method and system based on artificial intelligence. Background technique [0002] Production scheduling is the work of organizing the execution of production schedules. Production scheduling is based on the production schedule, and the production schedule is implemented through production scheduling. The necessity of production scheduling is determined by the nature of the production activities of industrial enterprises. Modern industrial enterprises have many production links, complex cooperative relationships, strong production continuity, and rapid changes in conditions. If a certain part fails, or a certain measure is not implemented on schedule, it often affects the operation of the entire production system. Therefore, it is very important to strengthen the production scheduling work to understand and master the production progress in ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/06G06Q10/08G06Q30/02G06Q50/04
CPCG06Q10/06316G06Q10/06314G06Q10/083G06Q30/0201G06Q30/0282G06Q50/04Y02P90/30
Inventor 王军陈利群陈旖蕾
Owner GUANGZHOU SIE CONSULTING CO LTD